Literature DB >> 29569984

Prognostic value of serum and tissue HE4 expression in ovarian cancer: a systematic review with meta-analysis of 90 studies.

Hanyu Cao1, Di You1, Zhu Lan2, Hui Ye1, Minmin Hou1,3, Mingrong Xi1.   

Abstract

INTRODUCTION: Ovarian cancer (OC) is one of the leading causes of cancer-related death in women. Accumulating evidence showed an evolving role of HE4 in monitoring the progression and prognosis of OC but without a comprehensive analysis for prognosis and survival data. Areas covered: The present meta-analysis aims to explore the association of HE4 with survival and the clinicopathological features of OC patients. PubMed, Embase, Web of Science and the China National Knowledge Infrastructure (CNKI) were searched for relevant studies regarding the role of both serum and tissue HE4 expression in ovarian cancer. Expert commentary: HE4 has been proposed as the most promising biomarker that may complement the CA125 expression and has been approved by the FDA in monitoring the follow-up and relapse of OC patients. Our results are in accordance with the most recent evidence suggesting its important role in the prognostic surveillance of OC and a better performance in the early prediction of OC recurrence than CA125.

Entities:  

Keywords:  Human epididymis protein 4; ovarian cancer; prognosis; recurrence; survival

Mesh:

Substances:

Year:  2018        PMID: 29569984     DOI: 10.1080/14737159.2018.1457436

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  4 in total

Review 1.  Prognostic utility of the ovarian cancer secretome: a systematic investigation.

Authors:  Pradnya R Kamble; Apoorva Pawar; Ananya A Breed; Grishma Kasle; Bhakti R Pathak
Journal:  Arch Gynecol Obstet       Date:  2022-01-27       Impact factor: 2.493

Review 2.  Epigenetics in ovarian cancer: premise, properties, and perspectives.

Authors:  Qilian Yang; Yuqing Yang; Nianxin Zhou; Kexin Tang; Wayne Bond Lau; Bonnie Lau; Wei Wang; Lian Xu; Zhengnan Yang; Shuang Huang; Xin Wang; Tao Yi; Xia Zhao; Yuquan Wei; Hongjing Wang; Linjie Zhao; Shengtao Zhou
Journal:  Mol Cancer       Date:  2018-07-31       Impact factor: 27.401

3.  Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer.

Authors:  Suying Yang; Jing Tang; Yue Rong; Min Wang; Jun Long; Cheng Chen; Cong Wang
Journal:  Front Oncol       Date:  2022-09-16       Impact factor: 5.738

Review 4.  ESGO/ISUOG/IOTA/ESGE Consensus Statement on pre-operative diagnosis of ovarian tumors.

Authors:  Dirk Timmerman; François Planchamp; Tom Bourne; Chiara Landolfo; Andreas du Bois; Luis Chiva; David Cibula; Nicole Concin; Daniela Fischerova; Wouter Froyman; Guillermo Gallardo Madueño; Birthe Lemley; Annika Loft; Liliana Mereu; Philippe Morice; Denis Querleu; Antonia Carla Testa; Ignace Vergote; Vincent Vandecaveye; Giovanni Scambia; Christina Fotopoulou
Journal:  Int J Gynecol Cancer       Date:  2021-06-10       Impact factor: 3.437

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.